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Scalable video coding using H.263

Scalable video coding using H.263

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： Yuen-Pang Ko S. Panchanathan Visual Computing and Communications Laboratory VCCL Department of Electrical and Computer Engineering University of Ottawa Ottawa ONT Canada Visual Computing and Communications Laboratory VCCLDepartment of Electrical and Computer Engineering University of Ottawa Ottawa ONT Canada

Scalable video compression is very useful for multimedia communications and other applications such as video browsing and interactive TV. In this paper, we have proposed a scalable algorithm for the H.263 coder which makes possible the generation of a multiple rate video stream from a single compressed H.263 video stream. The proposed algorithm has comparable performance at lower bit rates and a superior performance at higher bit rates.

关键词： Video coding Video compression Bit rate Videoconference Scalability Streaming media Transform coding Discrete cosine transforms Multimedia communication TV

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User-interface for relative performance evaluation of compression techniques

User-interface for relative performance evaluation of compre...

引用

Canadian Conference on electrical and computer engineering (CCECE)

作者： S. Padhy O. Hage S. Panchanathan Visual Computing and Communications Laboratory Department of Electrical and Computer Engineering University of Ottawa Ottawa ONT Canada

Several techniques for video compression have appeared in literature namely JPEG, MPEG, H.263, wavelet, vector quantization, sub-bands, etc. In this paper, we present a user interface design which allows subjective comparison by simultaneous display of the encoded sequences (along with the original) at a variety of compression ratios in a synchronized manner. The proposed interface is extremely useful for relative performance evaluation of various compression techniques and can be easily extended to incorporate evaluation of new compression techniques.

关键词： Image coding Transform coding Video compression Redundancy Signal to noise ratio Discrete cosine transforms Decoding Vector quantization User interfaces PSNR

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Estimation of articulated motion using kinematically constrained mixture densities

Estimation of articulated motion using kinematically constra...

引用

IEEE Nonrigid and Articulated Motion Workshop

作者： E.A. Hunter P.H. Kelly R.C. Jain Department of Electrical and Computer Engineering Visual Computing Laboratory University of California San Diego CA USA

We address the problem of articulated posture estimation in its general form. Namely, the recovery of full 3D articulated posture parameters from an uncontrolled scene. Stochastic modeling of low-level segmented image data is unified with models of object kinematic structure through a constrained mixture of observation processes. A modified expectation-maximization algorithm is proposed for this purpose. Early experiments qualitatively demonstrate the efficacy of our approach, and provide a context for integration for more sophisticated image cues.

关键词： Motion estimation Kinematics Layout State estimation Humans laboratories Stochastic processes Image segmentation Expectation-maximization algorithms Image sequences

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3D video generation with multiple perspective camera views

3D video generation with multiple perspective camera views

引用

IEEE International Conference on Image Processing

作者： Li-Cheng Tai Ramesh Jain Visual Computing Laboratory Department of Electrical and Computer Engineering University of California La Jolla CA USA

ISBN: (纸本)0818681837

Conventional video limits the viewers to a fixed predetermined viewpoint. With the advancement of image generation and analysis techniques, it becomes possible to overcome this limitation. We present a framework for the generation of 3D video, based on the uses of multiple cameras from different perspectives. Exploiting a priori knowledge of the scene geometry and dynamic objects, we can reconstruct 3D shapes of objects and generate virtual views of spatio-temporal events. An overview of the framework is first presented. Then we report our ongoing research to overcome issues in segmentation and playback.

关键词： Cameras Shape Layout Calibration Geometry Solid modeling laboratories Postal services Image analysis Image reconstruction

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ASICs, processors, and configurable computing

ASICs, processors, and configurable computing

引用

Annual Hawaii International Conference on System Sciences (HICSS)

作者： B.L. Hutchings Configurable Computing Lab Department of Electrical and Computer Engineering Brigham Young University Provo UT USA

Summary form only given. It is often suggested that configurable computing represents a new computational middle ground that fills the existing void between conventional microprocessors and ASICs. This point of view is based upon the observation that FPGAs share some similarities with both processors and ASICs. FPGAs are seen as similar to processors because they are customized in the field by the end user by downloading configuration data into the device. They can also be seen as similar to ASICs because they can implement high performance, application specific circuits. It is hoped that if configurable computing can be shown to be similar to conventional processors, it will be possible to borrow microprocessor architecture and compilation techniques for use in the configurable computing community.

关键词： Application specific integrated circuits Field programmable gate arrays Microprocessors Amplitude shift keying Performance gain Parallel processing Distributed computing computer architecture computer languages Circuit synthesis

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Randomized reinforcement based scheduling in parallel processor systems

Randomized reinforcement based scheduling in parallel proces...

引用

Annual Hawaii International Conference on System Sciences (HICSS)

作者： A.Y. Zomaya M. Clements S. Olariu Parallel Computing Research Lab Department of Electrical & Electronic Engineering University of Western Australia Perth Australia Department of Computer Science Old Dominion University Norfolk VA USA

Task scheduling is important for the proper functioning of parallel processor systems. The static scheduling of tasks onto networks of parallel processors is well defined and documented in the literature. However, in many practical situations, a priori information about the tasks that need to be scheduled is not available. In such situations tasks usually arrive dynamically and the scheduling should be performed online or "on the fly". We present a framework based on stochastic reinforcement learning which is usually used to solve optimization problems in a simple and efficient way. The use of reinforcement learning reduces the dynamic scheduling problem to that of learning a stochastic approximation of an unknown average error surface. The learning system develops an association between the best action (schedule) and the current state of the environment (parallel system).

关键词： Processor scheduling Job shop scheduling Optimal scheduling Dynamic scheduling Parallel processing Adaptive scheduling Learning systems Stochastic processes Unsupervised learning Signal processing

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Efficient identification of non-robustly untestable path delay faults

Efficient identification of non-robustly untestable path del...

引用

IEEE International Test Conference

作者： Zhongcheng Li Yinghua Min R.K. Brayton CAD Lab Institute of Computing Technology Chinese Academy and Sciences China Center for Fault Tolerant Computing CAD Laboratory Institute of Computing Technology Chinese Academy and Sciences Beijing China Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA

This paper presents an efficient implication-based approach for identifying non-robustly untestable path delay faults. It starts from possible conflicts to find untestable faults by performing static implication. It is neither path-oriented nor space-search based. Experimental results for ISCAS'85 benchmark circuits demonstrate that a significant portion of non-robustly non-robustly untestable path delay faults is identified efficiently. The method can be combined easily with ATPG-based approaches for path delay testing to yield cost effective methods for path delay faults in large circuits.

关键词： Fault diagnosis Circuit faults Circuit testing Robustness Delay effects electrical fault detection Logic testing Benchmark testing Fault detection Redundancy

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A hierarchical approach for solving large-scale traveling salesman problem

A hierarchical approach for solving large-scale traveling sa...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： D.C. Park A.L. Figueras C. Chen Intelligent Computing Research Lab Department of Electrical and Computer Engineering Florida International University Miami FL USA

A hierarchical approach which combines an unsupervised learning algorithm and a recursive Hopfield neural network is proposed for solving the large-scale traveling salesman problem (TSP). For a TSP with given number of cities, an unsupervised learning algorithm was first used to find the clusters for decomposing the given problem and then a recursive version of the Hopfield network was applied to the centroids of the clusters. The proposed recursive Hopfield network was also applied to cities in each cluster in order to find an optimal path. A final tour was obtained by connecting together the resultant paths of each cluster.< >

关键词： Large-scale systems Traveling salesman problems Cities and towns Neurons Clustering algorithms Temperature Annealing Unsupervised learning Intelligent networks Electronic mail

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Gradient based fuzzy c-means (GBFCM) algorithm

Gradient based fuzzy c-means (GBFCM) algorithm

引用

International Joint Conference on Neural Networks (IJCNN)

作者： D.C. Park I. Dagher Intelligent Computing Research Lab Department of Electrical and Computer Engineering Florida International University Miami FL USA

In this paper, a clustering algorithm based on the fuzzy c-means algorithm (FCM) and the gradient descent method is presented. In the FCM, the minimization process of the objective function is proceeded by solving two equations alternatively in an iterative fashion. Each iteration requires the use of all the data at once. In our proposed approach one datum at a time is presented to the network, and the minimization is proceeded using the gradient descent method. Compared to FCM, the experimental results show that our algorithm is very competitive in terms of speed and stability of convergence for large number of data.< >

关键词： Clustering algorithms Iterative algorithms Minimization methods Equations Convergence Neurons Stability

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Bilinear recurrent neural network

Bilinear recurrent neural network

引用

International Joint Conference on Neural Networks (IJCNN)

作者： D.C. Park Yan Zhu Intelligent Computing Research Lab Department of Electrical and Computer Engineering Florida International University Miami FL USA

A recurrent neural network and its training algorithm are proposed in this paper. Since the proposed algorithm is based on the bilinear polynomial, it can model many nonlinear systems with much more parsimony than the higher order neural networks based on Volterra series. The proposed bilinear recurrent neural network (BLRNN) is compared with multilayer perceptron neural networks (MLPNN) for time series prediction problems. The results show that the BLRNN is robust and outperforms the MLPNN in terms of prediction accuracy.< >

关键词： Recurrent neural networks Neurons Polynomials Neural networks Nonlinear systems Artificial neural networks Feedforward neural networks Intelligent networks computer networks Electronic mail

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